8X8 (EGHT) Accumulated Expenses (2023 - 2026)
8X8 (EGHT) reported Accumulated Expenses of $69.87 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 10.9% from $63.03 million a year earlier and unchanged from the prior quarter.
8X8 (EGHT) Accumulated Expenses (2023 - 2026) Analysis & Trends
Dating back to fiscal Q4 2023, 8X8's Accumulated Expenses record includes 10 quarters.
- Accumulated Expenses has a three-year compound annual growth rate of -1.8% (FY2023 to FY2026).
- By fiscal year, Accumulated Expenses came in at $63.03 million in FY2025 (-19.3%), $78.1 million in FY2024 (+5.9%) and $73.74 million in FY2023.
- Five-year quarterly Accumulated Expenses spans a low of $61.6 million in fiscal Q3 2025 and a high of $78.1 million in fiscal Q4 2024.
- Year over year, Accumulated Expenses gained in two of the last five quarters, with an average year-over-year change of 0.0%.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $69.85 million (Q3 2026), $66.87 million (Q2 2026) and $73.77 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | 8X8 | 313.41 Mn | -23.90 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 69.87 Mn |
| Dec 31, 2025 | 69.85 Mn |
| Sep 30, 2025 | 66.87 Mn |
| Jun 30, 2025 | 73.77 Mn |
| Mar 31, 2025 | 63.03 Mn |
| Dec 31, 2024 | 61.60 Mn |
| Sep 30, 2024 | 68.78 Mn |
| Jun 30, 2024 | 75.37 Mn |
| Mar 31, 2024 | 78.10 Mn |
| Mar 31, 2023 | 73.74 Mn |
8X8 Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EGHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();